Evaluation of imputation performance of multiple reference panels in a Pakistani population.

IF 3.6 Q2 GENETICS & HEREDITY HGG Advances Pub Date : 2025-04-10 Epub Date: 2024-12-18 DOI:10.1016/j.xhgg.2024.100395
Jiayi Xu, Dongjing Liu, Arsalan Hassan, Giulio Genovese, Alanna C Cote, Brian Fennessy, Esther Cheng, Alexander W Charney, James A Knowles, Muhammad Ayub, Roseann E Peterson, Tim B Bigdeli, Laura M Huckins
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Abstract

Genotype imputation is crucial for genome-wide association studies (GWASs), but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1,814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference. Imputation accuracy of ex1KG outperformed TOPMed for common variants despite its 30-fold smaller sample size, supporting efforts to create future panels with diverse populations.

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巴基斯坦人群中多个参考小组的归责表现评价。
基因型插入对GWAS至关重要,但参考小组和现有的基准研究优先考虑欧洲个体。因此,目前尚不清楚哪种公开可用的参考小组应该用于巴基斯坦人,以及该小组的血统组成或样本量是否对估算准确性更重要。我们的研究比较了1814名巴基斯坦人的不同参考面板的基因型数据,发现TOPMed和扩展的1000基因组(ex1KG)参考meta-imputation的准确性和覆盖率之间的最佳平衡。ex1KG的输入精度优于TOPMed的常见变异,尽管它的样本量小了30倍,支持努力创建具有不同人群的未来面板。
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来源期刊
HGG Advances
HGG Advances Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
4.30
自引率
4.50%
发文量
69
审稿时长
14 weeks
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